Overview

Dataset statistics

Number of variables31
Number of observations614
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory153.5 KiB
Average record size in memory256.0 B

Variable types

Numeric7
Categorical19
Boolean5

Alerts

Anxiety has 27 (4.4%) zerosZeros
Depression has 66 (10.7%) zerosZeros
Insomnia has 128 (20.8%) zerosZeros
OCD has 206 (33.6%) zerosZeros

Reproduction

Analysis started2024-07-16 08:56:09.093378
Analysis finished2024-07-16 08:56:26.483131
Duration17.39 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

Age
Real number (ℝ)

Distinct59
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.820847
Minimum10
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-07-16T14:26:27.050196image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q118
median21
Q327
95-th percentile53
Maximum89
Range79
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.666679
Coefficient of variation (CV)0.47003551
Kurtosis5.5047649
Mean24.820847
Median Absolute Deviation (MAD)4
Skewness2.2321101
Sum15240
Variance136.11141
MonotonicityNot monotonic
2024-07-16T14:26:27.425057image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 71
 
11.6%
19 56
 
9.1%
17 52
 
8.5%
21 40
 
6.5%
20 36
 
5.9%
16 36
 
5.9%
22 32
 
5.2%
23 29
 
4.7%
15 20
 
3.3%
24 19
 
3.1%
Other values (49) 223
36.3%
ValueCountFrequency (%)
10 1
 
0.2%
12 1
 
0.2%
13 6
 
1.0%
14 16
 
2.6%
15 20
 
3.3%
16 36
5.9%
17 52
8.5%
18 71
11.6%
19 56
9.1%
20 36
5.9%
ValueCountFrequency (%)
89 1
0.2%
80 1
0.2%
74 1
0.2%
73 1
0.2%
72 1
0.2%
70 1
0.2%
69 1
0.2%
68 1
0.2%
67 1
0.2%
65 1
0.2%
Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Spotify
395 
YouTube Music
73 
I do not use a streaming service.
56 
Apple Music
42 
Other streaming service
 
39

Length

Max length33
Median length7
Mean length11.374593
Min length7

Characters and Unicode

Total characters6984
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSpotify
2nd rowYouTube Music
3rd rowSpotify
4th rowSpotify
5th rowYouTube Music

Common Values

ValueCountFrequency (%)
Spotify 395
64.3%
YouTube Music 73
 
11.9%
I do not use a streaming service. 56
 
9.1%
Apple Music 42
 
6.8%
Other streaming service 39
 
6.4%
Pandora 9
 
1.5%

Length

2024-07-16T14:26:27.803530image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:28.038976image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
spotify 395
34.6%
music 115
 
10.1%
streaming 95
 
8.3%
service 95
 
8.3%
youtube 73
 
6.4%
i 56
 
4.9%
do 56
 
4.9%
not 56
 
4.9%
use 56
 
4.9%
a 56
 
4.9%
Other values (3) 90
 
7.9%

Most occurring characters

ValueCountFrequency (%)
i 700
 
10.0%
o 589
 
8.4%
t 585
 
8.4%
529
 
7.6%
e 495
 
7.1%
p 479
 
6.9%
S 395
 
5.7%
f 395
 
5.7%
y 395
 
5.7%
s 361
 
5.2%
Other values (20) 2061
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5597
80.1%
Uppercase Letter 802
 
11.5%
Space Separator 529
 
7.6%
Other Punctuation 56
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 700
12.5%
o 589
10.5%
t 585
10.5%
e 495
8.8%
p 479
8.6%
f 395
 
7.1%
y 395
 
7.1%
s 361
 
6.4%
u 317
 
5.7%
r 238
 
4.3%
Other values (10) 1043
18.6%
Uppercase Letter
ValueCountFrequency (%)
S 395
49.3%
M 115
 
14.3%
Y 73
 
9.1%
T 73
 
9.1%
I 56
 
7.0%
A 42
 
5.2%
O 39
 
4.9%
P 9
 
1.1%
Space Separator
ValueCountFrequency (%)
529
100.0%
Other Punctuation
ValueCountFrequency (%)
. 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6399
91.6%
Common 585
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 700
10.9%
o 589
 
9.2%
t 585
 
9.1%
e 495
 
7.7%
p 479
 
7.5%
S 395
 
6.2%
f 395
 
6.2%
y 395
 
6.2%
s 361
 
5.6%
u 317
 
5.0%
Other values (18) 1688
26.4%
Common
ValueCountFrequency (%)
529
90.4%
. 56
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 700
 
10.0%
o 589
 
8.4%
t 585
 
8.4%
529
 
7.6%
e 495
 
7.1%
p 479
 
6.9%
S 395
 
5.7%
f 395
 
5.7%
y 395
 
5.7%
s 361
 
5.2%
Other values (20) 2061
29.5%

Hours per day
Real number (ℝ)

Distinct23
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6965798
Minimum0
Maximum24
Zeros3
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-07-16T14:26:28.475680image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0740555
Coefficient of variation (CV)0.83159451
Kurtosis10.139512
Mean3.6965798
Median Absolute Deviation (MAD)1
Skewness2.4646907
Sum2269.7
Variance9.449817
MonotonicityNot monotonic
2024-07-16T14:26:28.914943image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 131
21.3%
3 104
16.9%
1 99
16.1%
4 75
12.2%
5 46
 
7.5%
6 41
 
6.7%
8 27
 
4.4%
10 19
 
3.1%
0.5 16
 
2.6%
7 13
 
2.1%
Other values (13) 43
 
7.0%
ValueCountFrequency (%)
0 3
 
0.5%
0.25 2
 
0.3%
0.5 16
 
2.6%
0.7 1
 
0.2%
1 99
16.1%
1.5 12
 
2.0%
2 131
21.3%
2.5 5
 
0.8%
3 104
16.9%
4 75
12.2%
ValueCountFrequency (%)
24 3
 
0.5%
18 1
 
0.2%
16 1
 
0.2%
15 2
 
0.3%
14 1
 
0.2%
12 8
 
1.3%
11 1
 
0.2%
10 19
3.1%
9 3
 
0.5%
8 27
4.4%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
True
488 
False
126 
ValueCountFrequency (%)
True 488
79.5%
False 126
 
20.5%
2024-07-16T14:26:29.290260image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
False
414 
True
200 
ValueCountFrequency (%)
False 414
67.4%
True 200
32.6%
2024-07-16T14:26:29.598490image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Composer
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
False
506 
True
108 
ValueCountFrequency (%)
False 506
82.4%
True 108
 
17.6%
2024-07-16T14:26:29.797386image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Fav genre
Categorical

Distinct16
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Rock
149 
Pop
97 
Metal
77 
Classical
38 
Video game music
35 
Other values (11)
218 

Length

Max length16
Median length9
Mean length5.1270358
Min length3

Characters and Unicode

Total characters3148
Distinct characters36
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVideo game music
2nd rowJazz
3rd rowR&B
4th rowJazz
5th rowVideo game music

Common Values

ValueCountFrequency (%)
Rock 149
24.3%
Pop 97
15.8%
Metal 77
12.5%
Classical 38
 
6.2%
Video game music 35
 
5.7%
EDM 35
 
5.7%
Hip hop 32
 
5.2%
R&B 30
 
4.9%
Folk 25
 
4.1%
K pop 21
 
3.4%
Other values (6) 75
12.2%

Length

2024-07-16T14:26:30.067058image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rock 149
20.2%
pop 118
16.0%
metal 77
10.4%
classical 38
 
5.2%
video 35
 
4.7%
game 35
 
4.7%
music 35
 
4.7%
edm 35
 
4.7%
hop 32
 
4.3%
hip 32
 
4.3%
Other values (9) 151
20.5%

Most occurring characters

ValueCountFrequency (%)
o 393
 
12.5%
a 229
 
7.3%
p 227
 
7.2%
c 222
 
7.1%
R 199
 
6.3%
l 182
 
5.8%
k 174
 
5.5%
i 152
 
4.8%
e 151
 
4.8%
123
 
3.9%
Other values (26) 1096
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2281
72.5%
Uppercase Letter 714
 
22.7%
Space Separator 123
 
3.9%
Other Punctuation 30
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 393
17.2%
a 229
10.0%
p 227
10.0%
c 222
9.7%
l 182
8.0%
k 174
7.6%
i 152
 
6.7%
e 151
 
6.6%
s 115
 
5.0%
t 99
 
4.3%
Other values (10) 337
14.8%
Uppercase Letter
ValueCountFrequency (%)
R 199
27.9%
M 112
15.7%
P 97
13.6%
C 58
 
8.1%
V 35
 
4.9%
E 35
 
4.9%
D 35
 
4.9%
H 32
 
4.5%
B 30
 
4.2%
F 25
 
3.5%
Other values (4) 56
 
7.8%
Space Separator
ValueCountFrequency (%)
123
100.0%
Other Punctuation
ValueCountFrequency (%)
& 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2995
95.1%
Common 153
 
4.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 393
13.1%
a 229
 
7.6%
p 227
 
7.6%
c 222
 
7.4%
R 199
 
6.6%
l 182
 
6.1%
k 174
 
5.8%
i 152
 
5.1%
e 151
 
5.0%
s 115
 
3.8%
Other values (24) 951
31.8%
Common
ValueCountFrequency (%)
123
80.4%
& 30
 
19.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 393
 
12.5%
a 229
 
7.3%
p 227
 
7.2%
c 222
 
7.1%
R 199
 
6.3%
l 182
 
5.8%
k 174
 
5.5%
i 152
 
4.8%
e 151
 
4.8%
123
 
3.9%
Other values (26) 1096
34.8%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
True
449 
False
165 
ValueCountFrequency (%)
True 449
73.1%
False 165
 
26.9%
2024-07-16T14:26:30.348778image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
True
346 
False
268 
ValueCountFrequency (%)
True 346
56.4%
False 268
43.6%
2024-07-16T14:26:30.676589image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

BPM
Real number (ℝ)

Distinct133
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.76547
Minimum0
Maximum220
Zeros3
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-07-16T14:26:31.094152image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75
Q1100
median120
Q3144
95-th percentile180
Maximum220
Range220
Interquartile range (IQR)44

Descriptive statistics

Standard deviation34.083197
Coefficient of variation (CV)0.27762853
Kurtosis0.73725185
Mean122.76547
Median Absolute Deviation (MAD)21
Skewness-0.0024115161
Sum75378
Variance1161.6643
MonotonicityNot monotonic
2024-07-16T14:26:31.530025image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 45
 
7.3%
140 24
 
3.9%
150 18
 
2.9%
110 16
 
2.6%
105 14
 
2.3%
130 13
 
2.1%
100 11
 
1.8%
128 11
 
1.8%
90 11
 
1.8%
136 11
 
1.8%
Other values (123) 440
71.7%
ValueCountFrequency (%)
0 3
0.5%
4 1
 
0.2%
8 1
 
0.2%
20 1
 
0.2%
40 1
 
0.2%
52 1
 
0.2%
55 2
0.3%
56 1
 
0.2%
60 2
0.3%
61 1
 
0.2%
ValueCountFrequency (%)
220 2
 
0.3%
218 1
 
0.2%
210 2
 
0.3%
208 1
 
0.2%
204 1
 
0.2%
200 7
1.1%
194 2
 
0.3%
193 1
 
0.2%
192 1
 
0.2%
191 1
 
0.2%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Rarely
223 
Sometimes
167 
Never
138 
Very frequently
86 

Length

Max length15
Median length9
Mean length7.8517915
Min length5

Characters and Unicode

Total characters4821
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNever
2nd rowSometimes
3rd rowNever
4th rowRarely
5th rowSometimes

Common Values

ValueCountFrequency (%)
Rarely 223
36.3%
Sometimes 167
27.2%
Never 138
22.5%
Very frequently 86
 
14.0%

Length

2024-07-16T14:26:32.012757image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:32.381176image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
rarely 223
31.9%
sometimes 167
23.9%
never 138
19.7%
very 86
 
12.3%
frequently 86
 
12.3%

Most occurring characters

ValueCountFrequency (%)
e 1091
22.6%
r 533
11.1%
y 395
 
8.2%
m 334
 
6.9%
l 309
 
6.4%
t 253
 
5.2%
R 223
 
4.6%
a 223
 
4.6%
s 167
 
3.5%
i 167
 
3.5%
Other values (10) 1126
23.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4121
85.5%
Uppercase Letter 614
 
12.7%
Space Separator 86
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1091
26.5%
r 533
12.9%
y 395
 
9.6%
m 334
 
8.1%
l 309
 
7.5%
t 253
 
6.1%
a 223
 
5.4%
s 167
 
4.1%
i 167
 
4.1%
o 167
 
4.1%
Other values (5) 482
11.7%
Uppercase Letter
ValueCountFrequency (%)
R 223
36.3%
S 167
27.2%
N 138
22.5%
V 86
 
14.0%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4735
98.2%
Common 86
 
1.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1091
23.0%
r 533
11.3%
y 395
 
8.3%
m 334
 
7.1%
l 309
 
6.5%
t 253
 
5.3%
R 223
 
4.7%
a 223
 
4.7%
s 167
 
3.5%
i 167
 
3.5%
Other values (9) 1040
22.0%
Common
ValueCountFrequency (%)
86
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4821
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1091
22.6%
r 533
11.1%
y 395
 
8.2%
m 334
 
6.9%
l 309
 
6.4%
t 253
 
5.2%
R 223
 
4.6%
a 223
 
4.6%
s 167
 
3.5%
i 167
 
3.5%
Other values (10) 1126
23.4%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
289 
Rarely
188 
Sometimes
95 
Very frequently
42 

Length

Max length15
Median length9
Mean length6.6091205
Min length5

Characters and Unicode

Total characters4058
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNever
2nd rowNever
3rd rowNever
4th rowSometimes
5th rowNever

Common Values

ValueCountFrequency (%)
Never 289
47.1%
Rarely 188
30.6%
Sometimes 95
 
15.5%
Very frequently 42
 
6.8%

Length

2024-07-16T14:26:32.799971image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:33.207704image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 289
44.1%
rarely 188
28.7%
sometimes 95
 
14.5%
very 42
 
6.4%
frequently 42
 
6.4%

Most occurring characters

ValueCountFrequency (%)
e 1082
26.7%
r 561
13.8%
N 289
 
7.1%
v 289
 
7.1%
y 272
 
6.7%
l 230
 
5.7%
m 190
 
4.7%
a 188
 
4.6%
R 188
 
4.6%
t 137
 
3.4%
Other values (10) 632
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3402
83.8%
Uppercase Letter 614
 
15.1%
Space Separator 42
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1082
31.8%
r 561
16.5%
v 289
 
8.5%
y 272
 
8.0%
l 230
 
6.8%
m 190
 
5.6%
a 188
 
5.5%
t 137
 
4.0%
o 95
 
2.8%
i 95
 
2.8%
Other values (5) 263
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 289
47.1%
R 188
30.6%
S 95
 
15.5%
V 42
 
6.8%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4016
99.0%
Common 42
 
1.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1082
26.9%
r 561
14.0%
N 289
 
7.2%
v 289
 
7.2%
y 272
 
6.8%
l 230
 
5.7%
m 190
 
4.7%
a 188
 
4.7%
R 188
 
4.7%
t 137
 
3.4%
Other values (9) 590
14.7%
Common
ValueCountFrequency (%)
42
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4058
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1082
26.7%
r 561
13.8%
N 289
 
7.1%
v 289
 
7.1%
y 272
 
6.7%
l 230
 
5.7%
m 190
 
4.7%
a 188
 
4.6%
R 188
 
4.6%
t 137
 
3.4%
Other values (10) 632
15.6%

Frequency [EDM]
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
249 
Rarely
160 
Sometimes
121 
Very frequently
84 

Length

Max length15
Median length9
Mean length7.4169381
Min length5

Characters and Unicode

Total characters4554
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery frequently
2nd rowNever
3rd rowRarely
4th rowNever
5th rowRarely

Common Values

ValueCountFrequency (%)
Never 249
40.6%
Rarely 160
26.1%
Sometimes 121
19.7%
Very frequently 84
 
13.7%

Length

2024-07-16T14:26:33.610742image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:33.962578image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 249
35.7%
rarely 160
22.9%
sometimes 121
17.3%
very 84
 
12.0%
frequently 84
 
12.0%

Most occurring characters

ValueCountFrequency (%)
e 1152
25.3%
r 577
12.7%
y 328
 
7.2%
N 249
 
5.5%
v 249
 
5.5%
l 244
 
5.4%
m 242
 
5.3%
t 205
 
4.5%
a 160
 
3.5%
R 160
 
3.5%
Other values (10) 988
21.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3856
84.7%
Uppercase Letter 614
 
13.5%
Space Separator 84
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1152
29.9%
r 577
15.0%
y 328
 
8.5%
v 249
 
6.5%
l 244
 
6.3%
m 242
 
6.3%
t 205
 
5.3%
a 160
 
4.1%
o 121
 
3.1%
i 121
 
3.1%
Other values (5) 457
 
11.9%
Uppercase Letter
ValueCountFrequency (%)
N 249
40.6%
R 160
26.1%
S 121
19.7%
V 84
 
13.7%
Space Separator
ValueCountFrequency (%)
84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4470
98.2%
Common 84
 
1.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1152
25.8%
r 577
12.9%
y 328
 
7.3%
N 249
 
5.6%
v 249
 
5.6%
l 244
 
5.5%
m 242
 
5.4%
t 205
 
4.6%
a 160
 
3.6%
R 160
 
3.6%
Other values (9) 904
20.2%
Common
ValueCountFrequency (%)
84
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1152
25.3%
r 577
12.7%
y 328
 
7.2%
N 249
 
5.5%
v 249
 
5.5%
l 244
 
5.4%
m 242
 
5.3%
t 205
 
4.5%
a 160
 
3.5%
R 160
 
3.5%
Other values (10) 988
21.7%

Frequency [Folk]
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
242 
Rarely
182 
Sometimes
128 
Very frequently
62 

Length

Max length15
Median length9
Mean length7.1400651
Min length5

Characters and Unicode

Total characters4384
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNever
2nd rowRarely
3rd rowNever
4th rowNever
5th rowSometimes

Common Values

ValueCountFrequency (%)
Never 242
39.4%
Rarely 182
29.6%
Sometimes 128
20.8%
Very frequently 62
 
10.1%

Length

2024-07-16T14:26:34.373642image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:34.714773image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 242
35.8%
rarely 182
26.9%
sometimes 128
18.9%
very 62
 
9.2%
frequently 62
 
9.2%

Most occurring characters

ValueCountFrequency (%)
e 1108
25.3%
r 548
12.5%
y 306
 
7.0%
m 256
 
5.8%
l 244
 
5.6%
N 242
 
5.5%
v 242
 
5.5%
t 190
 
4.3%
a 182
 
4.2%
R 182
 
4.2%
Other values (10) 884
20.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3708
84.6%
Uppercase Letter 614
 
14.0%
Space Separator 62
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1108
29.9%
r 548
14.8%
y 306
 
8.3%
m 256
 
6.9%
l 244
 
6.6%
v 242
 
6.5%
t 190
 
5.1%
a 182
 
4.9%
o 128
 
3.5%
i 128
 
3.5%
Other values (5) 376
 
10.1%
Uppercase Letter
ValueCountFrequency (%)
N 242
39.4%
R 182
29.6%
S 128
20.8%
V 62
 
10.1%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4322
98.6%
Common 62
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1108
25.6%
r 548
12.7%
y 306
 
7.1%
m 256
 
5.9%
l 244
 
5.6%
N 242
 
5.6%
v 242
 
5.6%
t 190
 
4.4%
a 182
 
4.2%
R 182
 
4.2%
Other values (9) 822
19.0%
Common
ValueCountFrequency (%)
62
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1108
25.3%
r 548
12.5%
y 306
 
7.0%
m 256
 
5.8%
l 244
 
5.6%
N 242
 
5.5%
v 242
 
5.5%
t 190
 
4.3%
a 182
 
4.2%
R 182
 
4.2%
Other values (10) 884
20.2%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
446 
Rarely
112 
Sometimes
 
44
Very frequently
 
12

Length

Max length15
Median length5
Mean length5.6644951
Min length5

Characters and Unicode

Total characters3478
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNever
2nd rowSometimes
3rd rowRarely
4th rowNever
5th rowRarely

Common Values

ValueCountFrequency (%)
Never 446
72.6%
Rarely 112
 
18.2%
Sometimes 44
 
7.2%
Very frequently 12
 
2.0%

Length

2024-07-16T14:26:35.132245image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:35.386897image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 446
71.2%
rarely 112
 
17.9%
sometimes 44
 
7.0%
very 12
 
1.9%
frequently 12
 
1.9%

Most occurring characters

ValueCountFrequency (%)
e 1128
32.4%
r 582
16.7%
N 446
 
12.8%
v 446
 
12.8%
y 136
 
3.9%
l 124
 
3.6%
R 112
 
3.2%
a 112
 
3.2%
m 88
 
2.5%
t 56
 
1.6%
Other values (10) 248
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2852
82.0%
Uppercase Letter 614
 
17.7%
Space Separator 12
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1128
39.6%
r 582
20.4%
v 446
 
15.6%
y 136
 
4.8%
l 124
 
4.3%
a 112
 
3.9%
m 88
 
3.1%
t 56
 
2.0%
o 44
 
1.5%
i 44
 
1.5%
Other values (5) 92
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
N 446
72.6%
R 112
 
18.2%
S 44
 
7.2%
V 12
 
2.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3466
99.7%
Common 12
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1128
32.5%
r 582
16.8%
N 446
 
12.9%
v 446
 
12.9%
y 136
 
3.9%
l 124
 
3.6%
R 112
 
3.2%
a 112
 
3.2%
m 88
 
2.5%
t 56
 
1.6%
Other values (9) 236
 
6.8%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1128
32.4%
r 582
16.7%
N 446
 
12.8%
v 446
 
12.8%
y 136
 
3.9%
l 124
 
3.6%
R 112
 
3.2%
a 112
 
3.2%
m 88
 
2.5%
t 56
 
1.6%
Other values (10) 248
 
7.1%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Sometimes
180 
Rarely
175 
Never
145 
Very frequently
114 

Length

Max length15
Median length9
Mean length8.3143322
Min length5

Characters and Unicode

Total characters5105
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRarely
2nd rowNever
3rd rowVery frequently
4th rowSometimes
5th rowRarely

Common Values

ValueCountFrequency (%)
Sometimes 180
29.3%
Rarely 175
28.5%
Never 145
23.6%
Very frequently 114
18.6%

Length

2024-07-16T14:26:35.766412image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:36.141711image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
sometimes 180
24.7%
rarely 175
24.0%
never 145
19.9%
very 114
15.7%
frequently 114
15.7%

Most occurring characters

ValueCountFrequency (%)
e 1167
22.9%
r 548
10.7%
y 403
 
7.9%
m 360
 
7.1%
t 294
 
5.8%
l 289
 
5.7%
o 180
 
3.5%
S 180
 
3.5%
s 180
 
3.5%
i 180
 
3.5%
Other values (10) 1324
25.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4377
85.7%
Uppercase Letter 614
 
12.0%
Space Separator 114
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1167
26.7%
r 548
12.5%
y 403
 
9.2%
m 360
 
8.2%
t 294
 
6.7%
l 289
 
6.6%
o 180
 
4.1%
s 180
 
4.1%
i 180
 
4.1%
a 175
 
4.0%
Other values (5) 601
13.7%
Uppercase Letter
ValueCountFrequency (%)
S 180
29.3%
R 175
28.5%
N 145
23.6%
V 114
18.6%
Space Separator
ValueCountFrequency (%)
114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4991
97.8%
Common 114
 
2.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1167
23.4%
r 548
11.0%
y 403
 
8.1%
m 360
 
7.2%
t 294
 
5.9%
l 289
 
5.8%
o 180
 
3.6%
S 180
 
3.6%
s 180
 
3.6%
i 180
 
3.6%
Other values (9) 1210
24.2%
Common
ValueCountFrequency (%)
114
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1167
22.9%
r 548
10.7%
y 403
 
7.9%
m 360
 
7.1%
t 294
 
5.8%
l 289
 
5.7%
o 180
 
3.5%
S 180
 
3.5%
s 180
 
3.5%
i 180
 
3.5%
Other values (10) 1324
25.9%

Frequency [Jazz]
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Rarely
212 
Never
208 
Sometimes
146 
Very frequently
48 

Length

Max length15
Median length9
Mean length7.0781759
Min length5

Characters and Unicode

Total characters4346
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRarely
2nd rowVery frequently
3rd rowNever
4th rowVery frequently
5th rowSometimes

Common Values

ValueCountFrequency (%)
Rarely 212
34.5%
Never 208
33.9%
Sometimes 146
23.8%
Very frequently 48
 
7.8%

Length

2024-07-16T14:26:36.478217image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:36.855689image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
rarely 212
32.0%
never 208
31.4%
sometimes 146
22.1%
very 48
 
7.3%
frequently 48
 
7.3%

Most occurring characters

ValueCountFrequency (%)
e 1064
24.5%
r 516
11.9%
y 308
 
7.1%
m 292
 
6.7%
l 260
 
6.0%
a 212
 
4.9%
R 212
 
4.9%
v 208
 
4.8%
N 208
 
4.8%
t 194
 
4.5%
Other values (10) 872
20.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3684
84.8%
Uppercase Letter 614
 
14.1%
Space Separator 48
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1064
28.9%
r 516
14.0%
y 308
 
8.4%
m 292
 
7.9%
l 260
 
7.1%
a 212
 
5.8%
v 208
 
5.6%
t 194
 
5.3%
o 146
 
4.0%
i 146
 
4.0%
Other values (5) 338
 
9.2%
Uppercase Letter
ValueCountFrequency (%)
R 212
34.5%
N 208
33.9%
S 146
23.8%
V 48
 
7.8%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4298
98.9%
Common 48
 
1.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1064
24.8%
r 516
12.0%
y 308
 
7.2%
m 292
 
6.8%
l 260
 
6.0%
a 212
 
4.9%
R 212
 
4.9%
v 208
 
4.8%
N 208
 
4.8%
t 194
 
4.5%
Other values (9) 824
19.2%
Common
ValueCountFrequency (%)
48
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4346
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1064
24.5%
r 516
11.9%
y 308
 
7.1%
m 292
 
6.7%
l 260
 
6.0%
a 212
 
4.9%
R 212
 
4.9%
v 208
 
4.8%
N 208
 
4.8%
t 194
 
4.5%
Other values (10) 872
20.1%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
347 
Rarely
144 
Very frequently
67 
Sometimes
56 

Length

Max length15
Median length5
Mean length6.6905537
Min length5

Characters and Unicode

Total characters4108
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery frequently
2nd rowSometimes
3rd rowVery frequently
4th rowVery frequently
5th rowNever

Common Values

ValueCountFrequency (%)
Never 347
56.5%
Rarely 144
23.5%
Very frequently 67
 
10.9%
Sometimes 56
 
9.1%

Length

2024-07-16T14:26:37.339724image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:37.698479image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 347
51.0%
rarely 144
21.1%
very 67
 
9.8%
frequently 67
 
9.8%
sometimes 56
 
8.2%

Most occurring characters

ValueCountFrequency (%)
e 1151
28.0%
r 625
15.2%
N 347
 
8.4%
v 347
 
8.4%
y 278
 
6.8%
l 211
 
5.1%
R 144
 
3.5%
a 144
 
3.5%
t 123
 
3.0%
m 112
 
2.7%
Other values (10) 626
15.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3427
83.4%
Uppercase Letter 614
 
14.9%
Space Separator 67
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1151
33.6%
r 625
18.2%
v 347
 
10.1%
y 278
 
8.1%
l 211
 
6.2%
a 144
 
4.2%
t 123
 
3.6%
m 112
 
3.3%
u 67
 
2.0%
n 67
 
2.0%
Other values (5) 302
 
8.8%
Uppercase Letter
ValueCountFrequency (%)
N 347
56.5%
R 144
23.5%
V 67
 
10.9%
S 56
 
9.1%
Space Separator
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4041
98.4%
Common 67
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1151
28.5%
r 625
15.5%
N 347
 
8.6%
v 347
 
8.6%
y 278
 
6.9%
l 211
 
5.2%
R 144
 
3.6%
a 144
 
3.6%
t 123
 
3.0%
m 112
 
2.8%
Other values (9) 559
13.8%
Common
ValueCountFrequency (%)
67
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1151
28.0%
r 625
15.2%
N 347
 
8.4%
v 347
 
8.4%
y 278
 
6.8%
l 211
 
5.1%
R 144
 
3.5%
a 144
 
3.5%
t 123
 
3.0%
m 112
 
2.7%
Other values (10) 626
15.2%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
362 
Rarely
145 
Sometimes
77 
Very frequently
 
30

Length

Max length15
Median length5
Mean length6.2263844
Min length5

Characters and Unicode

Total characters3823
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNever
2nd rowVery frequently
3rd rowSometimes
4th rowRarely
5th rowRarely

Common Values

ValueCountFrequency (%)
Never 362
59.0%
Rarely 145
23.6%
Sometimes 77
 
12.5%
Very frequently 30
 
4.9%

Length

2024-07-16T14:26:38.121480image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:38.507318image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 362
56.2%
rarely 145
22.5%
sometimes 77
 
12.0%
very 30
 
4.7%
frequently 30
 
4.7%

Most occurring characters

ValueCountFrequency (%)
e 1113
29.1%
r 567
14.8%
N 362
 
9.5%
v 362
 
9.5%
y 205
 
5.4%
l 175
 
4.6%
m 154
 
4.0%
a 145
 
3.8%
R 145
 
3.8%
t 107
 
2.8%
Other values (10) 488
12.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3179
83.2%
Uppercase Letter 614
 
16.1%
Space Separator 30
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1113
35.0%
r 567
17.8%
v 362
 
11.4%
y 205
 
6.4%
l 175
 
5.5%
m 154
 
4.8%
a 145
 
4.6%
t 107
 
3.4%
o 77
 
2.4%
i 77
 
2.4%
Other values (5) 197
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 362
59.0%
R 145
23.6%
S 77
 
12.5%
V 30
 
4.9%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3793
99.2%
Common 30
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1113
29.3%
r 567
14.9%
N 362
 
9.5%
v 362
 
9.5%
y 205
 
5.4%
l 175
 
4.6%
m 154
 
4.1%
a 145
 
3.8%
R 145
 
3.8%
t 107
 
2.8%
Other values (9) 458
12.1%
Common
ValueCountFrequency (%)
30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3823
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1113
29.1%
r 567
14.8%
N 362
 
9.5%
v 362
 
9.5%
y 205
 
5.4%
l 175
 
4.6%
m 154
 
4.0%
a 145
 
3.8%
R 145
 
3.8%
t 107
 
2.8%
Other values (10) 488
12.8%

Frequency [Lofi]
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
229 
Rarely
176 
Sometimes
135 
Very frequently
74 

Length

Max length15
Median length9
Mean length7.3713355
Min length5

Characters and Unicode

Total characters4526
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSometimes
2nd rowSometimes
3rd rowSometimes
4th rowVery frequently
5th rowRarely

Common Values

ValueCountFrequency (%)
Never 229
37.3%
Rarely 176
28.7%
Sometimes 135
22.0%
Very frequently 74
 
12.1%

Length

2024-07-16T14:26:38.957528image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:39.308899image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 229
33.3%
rarely 176
25.6%
sometimes 135
19.6%
very 74
 
10.8%
frequently 74
 
10.8%

Most occurring characters

ValueCountFrequency (%)
e 1126
24.9%
r 553
12.2%
y 324
 
7.2%
m 270
 
6.0%
l 250
 
5.5%
N 229
 
5.1%
v 229
 
5.1%
t 209
 
4.6%
a 176
 
3.9%
R 176
 
3.9%
Other values (10) 984
21.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3838
84.8%
Uppercase Letter 614
 
13.6%
Space Separator 74
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1126
29.3%
r 553
14.4%
y 324
 
8.4%
m 270
 
7.0%
l 250
 
6.5%
v 229
 
6.0%
t 209
 
5.4%
a 176
 
4.6%
o 135
 
3.5%
i 135
 
3.5%
Other values (5) 431
 
11.2%
Uppercase Letter
ValueCountFrequency (%)
N 229
37.3%
R 176
28.7%
S 135
22.0%
V 74
 
12.1%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4452
98.4%
Common 74
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1126
25.3%
r 553
12.4%
y 324
 
7.3%
m 270
 
6.1%
l 250
 
5.6%
N 229
 
5.1%
v 229
 
5.1%
t 209
 
4.7%
a 176
 
4.0%
R 176
 
4.0%
Other values (9) 910
20.4%
Common
ValueCountFrequency (%)
74
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1126
24.9%
r 553
12.2%
y 324
 
7.2%
m 270
 
6.0%
l 250
 
5.5%
N 229
 
5.1%
v 229
 
5.1%
t 209
 
4.6%
a 176
 
3.9%
R 176
 
3.9%
Other values (10) 984
21.7%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
219 
Rarely
160 
Very frequently
123 
Sometimes
112 

Length

Max length15
Median length9
Mean length7.9934853
Min length5

Characters and Unicode

Total characters4908
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSometimes
2nd rowNever
3rd rowNever
4th rowRarely
5th rowRarely

Common Values

ValueCountFrequency (%)
Never 219
35.7%
Rarely 160
26.1%
Very frequently 123
20.0%
Sometimes 112
18.2%

Length

2024-07-16T14:26:39.748055image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:40.143926image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 219
29.7%
rarely 160
21.7%
very 123
16.7%
frequently 123
16.7%
sometimes 112
15.2%

Most occurring characters

ValueCountFrequency (%)
e 1191
24.3%
r 625
12.7%
y 406
 
8.3%
l 283
 
5.8%
t 235
 
4.8%
m 224
 
4.6%
N 219
 
4.5%
v 219
 
4.5%
R 160
 
3.3%
a 160
 
3.3%
Other values (10) 1186
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4171
85.0%
Uppercase Letter 614
 
12.5%
Space Separator 123
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1191
28.6%
r 625
15.0%
y 406
 
9.7%
l 283
 
6.8%
t 235
 
5.6%
m 224
 
5.4%
v 219
 
5.3%
a 160
 
3.8%
u 123
 
2.9%
n 123
 
2.9%
Other values (5) 582
14.0%
Uppercase Letter
ValueCountFrequency (%)
N 219
35.7%
R 160
26.1%
V 123
20.0%
S 112
18.2%
Space Separator
ValueCountFrequency (%)
123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4785
97.5%
Common 123
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1191
24.9%
r 625
13.1%
y 406
 
8.5%
l 283
 
5.9%
t 235
 
4.9%
m 224
 
4.7%
N 219
 
4.6%
v 219
 
4.6%
R 160
 
3.3%
a 160
 
3.3%
Other values (9) 1063
22.2%
Common
ValueCountFrequency (%)
123
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1191
24.3%
r 625
12.7%
y 406
 
8.3%
l 283
 
5.8%
t 235
 
4.8%
m 224
 
4.6%
N 219
 
4.5%
v 219
 
4.5%
R 160
 
3.3%
a 160
 
3.3%
Other values (10) 1186
24.2%

Frequency [Pop]
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Very frequently
237 
Sometimes
215 
Rarely
117 
Never
45 

Length

Max length15
Median length9
Mean length10.45114
Min length5

Characters and Unicode

Total characters6417
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRarely
2nd rowSometimes
3rd rowSometimes
4th rowVery frequently
5th rowRarely

Common Values

ValueCountFrequency (%)
Very frequently 237
38.6%
Sometimes 215
35.0%
Rarely 117
19.1%
Never 45
 
7.3%

Length

2024-07-16T14:26:40.552076image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:40.952389image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
very 237
27.8%
frequently 237
27.8%
sometimes 215
25.3%
rarely 117
13.7%
never 45
 
5.3%

Most occurring characters

ValueCountFrequency (%)
e 1348
21.0%
r 636
 
9.9%
y 591
 
9.2%
t 452
 
7.0%
m 430
 
6.7%
l 354
 
5.5%
n 237
 
3.7%
V 237
 
3.7%
u 237
 
3.7%
q 237
 
3.7%
Other values (10) 1658
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5566
86.7%
Uppercase Letter 614
 
9.6%
Space Separator 237
 
3.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1348
24.2%
r 636
11.4%
y 591
10.6%
t 452
 
8.1%
m 430
 
7.7%
l 354
 
6.4%
n 237
 
4.3%
u 237
 
4.3%
q 237
 
4.3%
f 237
 
4.3%
Other values (5) 807
14.5%
Uppercase Letter
ValueCountFrequency (%)
V 237
38.6%
S 215
35.0%
R 117
19.1%
N 45
 
7.3%
Space Separator
ValueCountFrequency (%)
237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6180
96.3%
Common 237
 
3.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1348
21.8%
r 636
10.3%
y 591
9.6%
t 452
 
7.3%
m 430
 
7.0%
l 354
 
5.7%
n 237
 
3.8%
V 237
 
3.8%
u 237
 
3.8%
q 237
 
3.8%
Other values (9) 1421
23.0%
Common
ValueCountFrequency (%)
237
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1348
21.0%
r 636
 
9.9%
y 591
 
9.2%
t 452
 
7.0%
m 430
 
6.7%
l 354
 
5.5%
n 237
 
3.7%
V 237
 
3.7%
u 237
 
3.7%
q 237
 
3.7%
Other values (10) 1658
25.8%

Frequency [R&B]
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
182 
Rarely
173 
Sometimes
151 
Very frequently
108 

Length

Max length15
Median length9
Mean length8.02443
Min length5

Characters and Unicode

Total characters4927
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNever
2nd rowSometimes
3rd rowVery frequently
4th rowVery frequently
5th rowRarely

Common Values

ValueCountFrequency (%)
Never 182
29.6%
Rarely 173
28.2%
Sometimes 151
24.6%
Very frequently 108
17.6%

Length

2024-07-16T14:26:41.411368image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:41.723460image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 182
25.2%
rarely 173
24.0%
sometimes 151
20.9%
very 108
15.0%
frequently 108
15.0%

Most occurring characters

ValueCountFrequency (%)
e 1163
23.6%
r 571
11.6%
y 389
 
7.9%
m 302
 
6.1%
l 281
 
5.7%
t 259
 
5.3%
N 182
 
3.7%
v 182
 
3.7%
a 173
 
3.5%
R 173
 
3.5%
Other values (10) 1252
25.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4205
85.3%
Uppercase Letter 614
 
12.5%
Space Separator 108
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1163
27.7%
r 571
13.6%
y 389
 
9.3%
m 302
 
7.2%
l 281
 
6.7%
t 259
 
6.2%
v 182
 
4.3%
a 173
 
4.1%
o 151
 
3.6%
i 151
 
3.6%
Other values (5) 583
13.9%
Uppercase Letter
ValueCountFrequency (%)
N 182
29.6%
R 173
28.2%
S 151
24.6%
V 108
17.6%
Space Separator
ValueCountFrequency (%)
108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4819
97.8%
Common 108
 
2.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1163
24.1%
r 571
11.8%
y 389
 
8.1%
m 302
 
6.3%
l 281
 
5.8%
t 259
 
5.4%
N 182
 
3.8%
v 182
 
3.8%
a 173
 
3.6%
R 173
 
3.6%
Other values (9) 1144
23.7%
Common
ValueCountFrequency (%)
108
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1163
23.6%
r 571
11.6%
y 389
 
7.9%
m 302
 
6.1%
l 281
 
5.7%
t 259
 
5.3%
N 182
 
3.7%
v 182
 
3.7%
a 173
 
3.5%
R 173
 
3.5%
Other values (10) 1252
25.4%

Frequency [Rap]
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Rarely
178 
Sometimes
164 
Never
156 
Very frequently
116 

Length

Max length15
Median length9
Mean length8.247557
Min length5

Characters and Unicode

Total characters5064
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRarely
2nd rowNever
3rd rowVery frequently
4th rowVery frequently
5th rowNever

Common Values

ValueCountFrequency (%)
Rarely 178
29.0%
Sometimes 164
26.7%
Never 156
25.4%
Very frequently 116
18.9%

Length

2024-07-16T14:26:42.063635image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:42.327635image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
rarely 178
24.4%
sometimes 164
22.5%
never 156
21.4%
very 116
15.9%
frequently 116
15.9%

Most occurring characters

ValueCountFrequency (%)
e 1166
23.0%
r 566
11.2%
y 410
 
8.1%
m 328
 
6.5%
l 294
 
5.8%
t 280
 
5.5%
R 178
 
3.5%
a 178
 
3.5%
s 164
 
3.2%
i 164
 
3.2%
Other values (10) 1336
26.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4334
85.6%
Uppercase Letter 614
 
12.1%
Space Separator 116
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1166
26.9%
r 566
13.1%
y 410
 
9.5%
m 328
 
7.6%
l 294
 
6.8%
t 280
 
6.5%
a 178
 
4.1%
s 164
 
3.8%
i 164
 
3.8%
o 164
 
3.8%
Other values (5) 620
14.3%
Uppercase Letter
ValueCountFrequency (%)
R 178
29.0%
S 164
26.7%
N 156
25.4%
V 116
18.9%
Space Separator
ValueCountFrequency (%)
116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4948
97.7%
Common 116
 
2.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1166
23.6%
r 566
11.4%
y 410
 
8.3%
m 328
 
6.6%
l 294
 
5.9%
t 280
 
5.7%
R 178
 
3.6%
a 178
 
3.6%
s 164
 
3.3%
i 164
 
3.3%
Other values (9) 1220
24.7%
Common
ValueCountFrequency (%)
116
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1166
23.0%
r 566
11.2%
y 410
 
8.1%
m 328
 
6.5%
l 294
 
5.8%
t 280
 
5.5%
R 178
 
3.5%
a 178
 
3.5%
s 164
 
3.2%
i 164
 
3.2%
Other values (10) 1336
26.4%

Frequency [Rock]
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Very frequently
277 
Sometimes
183 
Never
78 
Rarely
76 

Length

Max length15
Median length9
Mean length10.827362
Min length5

Characters and Unicode

Total characters6648
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRarely
2nd rowNever
3rd rowNever
4th rowVery frequently
5th rowNever

Common Values

ValueCountFrequency (%)
Very frequently 277
45.1%
Sometimes 183
29.8%
Never 78
 
12.7%
Rarely 76
 
12.4%

Length

2024-07-16T14:26:42.683212image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:43.058384image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
very 277
31.1%
frequently 277
31.1%
sometimes 183
20.5%
never 78
 
8.8%
rarely 76
 
8.5%

Most occurring characters

ValueCountFrequency (%)
e 1429
21.5%
r 708
10.6%
y 630
 
9.5%
t 460
 
6.9%
m 366
 
5.5%
l 353
 
5.3%
n 277
 
4.2%
V 277
 
4.2%
u 277
 
4.2%
q 277
 
4.2%
Other values (10) 1594
24.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5757
86.6%
Uppercase Letter 614
 
9.2%
Space Separator 277
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1429
24.8%
r 708
12.3%
y 630
10.9%
t 460
 
8.0%
m 366
 
6.4%
l 353
 
6.1%
n 277
 
4.8%
u 277
 
4.8%
q 277
 
4.8%
f 277
 
4.8%
Other values (5) 703
12.2%
Uppercase Letter
ValueCountFrequency (%)
V 277
45.1%
S 183
29.8%
N 78
 
12.7%
R 76
 
12.4%
Space Separator
ValueCountFrequency (%)
277
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6371
95.8%
Common 277
 
4.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1429
22.4%
r 708
11.1%
y 630
9.9%
t 460
 
7.2%
m 366
 
5.7%
l 353
 
5.5%
n 277
 
4.3%
V 277
 
4.3%
u 277
 
4.3%
q 277
 
4.3%
Other values (9) 1317
20.7%
Common
ValueCountFrequency (%)
277
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1429
21.5%
r 708
10.6%
y 630
 
9.5%
t 460
 
6.9%
m 366
 
5.5%
l 353
 
5.3%
n 277
 
4.2%
V 277
 
4.2%
u 277
 
4.2%
q 277
 
4.2%
Other values (10) 1594
24.0%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Never
192 
Rarely
171 
Sometimes
157 
Very frequently
94 

Length

Max length15
Median length9
Mean length7.8322476
Min length5

Characters and Unicode

Total characters4809
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery frequently
2nd rowNever
3rd rowRarely
4th rowNever
5th rowSometimes

Common Values

ValueCountFrequency (%)
Never 192
31.3%
Rarely 171
27.9%
Sometimes 157
25.6%
Very frequently 94
15.3%

Length

2024-07-16T14:26:43.477199image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:43.869930image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
never 192
27.1%
rarely 171
24.2%
sometimes 157
22.2%
very 94
13.3%
frequently 94
13.3%

Most occurring characters

ValueCountFrequency (%)
e 1151
23.9%
r 551
11.5%
y 359
 
7.5%
m 314
 
6.5%
l 265
 
5.5%
t 251
 
5.2%
N 192
 
4.0%
v 192
 
4.0%
a 171
 
3.6%
R 171
 
3.6%
Other values (10) 1192
24.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4101
85.3%
Uppercase Letter 614
 
12.8%
Space Separator 94
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1151
28.1%
r 551
13.4%
y 359
 
8.8%
m 314
 
7.7%
l 265
 
6.5%
t 251
 
6.1%
v 192
 
4.7%
a 171
 
4.2%
o 157
 
3.8%
i 157
 
3.8%
Other values (5) 533
13.0%
Uppercase Letter
ValueCountFrequency (%)
N 192
31.3%
R 171
27.9%
S 157
25.6%
V 94
15.3%
Space Separator
ValueCountFrequency (%)
94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4715
98.0%
Common 94
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1151
24.4%
r 551
11.7%
y 359
 
7.6%
m 314
 
6.7%
l 265
 
5.6%
t 251
 
5.3%
N 192
 
4.1%
v 192
 
4.1%
a 171
 
3.6%
R 171
 
3.6%
Other values (9) 1098
23.3%
Common
ValueCountFrequency (%)
94
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1151
23.9%
r 551
11.5%
y 359
 
7.5%
m 314
 
6.5%
l 265
 
5.5%
t 251
 
5.2%
N 192
 
4.0%
v 192
 
4.0%
a 171
 
3.6%
R 171
 
3.6%
Other values (10) 1192
24.8%

Anxiety
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8900651
Minimum0
Maximum10
Zeros27
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-07-16T14:26:44.131347image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7606621
Coefficient of variation (CV)0.46869806
Kurtosis-0.72960039
Mean5.8900651
Median Absolute Deviation (MAD)2
Skewness-0.42612815
Sum3616.5
Variance7.6212551
MonotonicityNot monotonic
2024-07-16T14:26:44.379913image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7 100
16.3%
8 98
16.0%
6 74
12.1%
3 59
9.6%
10 58
9.4%
5 48
7.8%
4 46
7.5%
9 45
7.3%
2 37
 
6.0%
0 27
 
4.4%
Other values (2) 22
 
3.6%
ValueCountFrequency (%)
0 27
 
4.4%
1 21
 
3.4%
2 37
 
6.0%
3 59
9.6%
4 46
7.5%
5 48
7.8%
6 74
12.1%
7 100
16.3%
7.5 1
 
0.2%
8 98
16.0%
ValueCountFrequency (%)
10 58
9.4%
9 45
7.3%
8 98
16.0%
7.5 1
 
0.2%
7 100
16.3%
6 74
12.1%
5 48
7.8%
4 46
7.5%
3 59
9.6%
2 37
 
6.0%

Depression
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8859935
Minimum0
Maximum10
Zeros66
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-07-16T14:26:44.684850image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q37
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9990536
Coefficient of variation (CV)0.6138063
Kurtosis-1.0959527
Mean4.8859935
Median Absolute Deviation (MAD)2.5
Skewness-0.085496496
Sum3000
Variance8.9943223
MonotonicityNot monotonic
2024-07-16T14:26:45.064047image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7 79
12.9%
6 78
12.7%
2 73
11.9%
0 66
10.7%
8 65
10.6%
4 56
9.1%
5 48
7.8%
3 44
7.2%
10 39
6.4%
1 32
5.2%
Other values (2) 34
5.5%
ValueCountFrequency (%)
0 66
10.7%
1 32
5.2%
2 73
11.9%
3 44
7.2%
3.5 2
 
0.3%
4 56
9.1%
5 48
7.8%
6 78
12.7%
7 79
12.9%
8 65
10.6%
ValueCountFrequency (%)
10 39
6.4%
9 32
5.2%
8 65
10.6%
7 79
12.9%
6 78
12.7%
5 48
7.8%
4 56
9.1%
3.5 2
 
0.3%
3 44
7.2%
2 73
11.9%

Insomnia
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7988599
Minimum0
Maximum10
Zeros128
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-07-16T14:26:45.315028image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1103703
Coefficient of variation (CV)0.81876414
Kurtosis-1.0890905
Mean3.7988599
Median Absolute Deviation (MAD)3
Skewness0.36247767
Sum2332.5
Variance9.6744033
MonotonicityNot monotonic
2024-07-16T14:26:45.549960image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 128
20.8%
2 66
10.7%
1 63
10.3%
3 61
9.9%
7 54
8.8%
6 51
 
8.3%
5 49
 
8.0%
4 46
 
7.5%
8 44
 
7.2%
10 27
 
4.4%
Other values (2) 25
 
4.1%
ValueCountFrequency (%)
0 128
20.8%
1 63
10.3%
2 66
10.7%
3 61
9.9%
3.5 1
 
0.2%
4 46
 
7.5%
5 49
 
8.0%
6 51
 
8.3%
7 54
8.8%
8 44
 
7.2%
ValueCountFrequency (%)
10 27
4.4%
9 24
 
3.9%
8 44
7.2%
7 54
8.8%
6 51
8.3%
5 49
8.0%
4 46
7.5%
3.5 1
 
0.2%
3 61
9.9%
2 66
10.7%

OCD
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6563518
Minimum0
Maximum10
Zeros206
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-07-16T14:26:45.912108image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8613958
Coefficient of variation (CV)1.0771901
Kurtosis-0.17978098
Mean2.6563518
Median Absolute Deviation (MAD)2
Skewness0.94157553
Sum1631
Variance8.187586
MonotonicityNot monotonic
2024-07-16T14:26:46.149592image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 206
33.6%
1 81
 
13.2%
2 79
 
12.9%
3 54
 
8.8%
5 48
 
7.8%
4 34
 
5.5%
6 29
 
4.7%
7 27
 
4.4%
8 26
 
4.2%
10 17
 
2.8%
Other values (3) 13
 
2.1%
ValueCountFrequency (%)
0 206
33.6%
1 81
 
13.2%
2 79
 
12.9%
3 54
 
8.8%
4 34
 
5.5%
5 48
 
7.8%
5.5 1
 
0.2%
6 29
 
4.7%
7 27
 
4.4%
8 26
 
4.2%
ValueCountFrequency (%)
10 17
 
2.8%
9 11
 
1.8%
8.5 1
 
0.2%
8 26
4.2%
7 27
4.4%
6 29
4.7%
5.5 1
 
0.2%
5 48
7.8%
4 34
5.5%
3 54
8.8%

Music effects
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Improve
464 
No effect
135 
Worsen
 
15

Length

Max length9
Median length7
Mean length7.4153094
Min length6

Characters and Unicode

Total characters4553
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo effect
2nd rowImprove
3rd rowImprove
4th rowImprove
5th rowImprove

Common Values

ValueCountFrequency (%)
Improve 464
75.6%
No effect 135
 
22.0%
Worsen 15
 
2.4%

Length

2024-07-16T14:26:46.469684image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-16T14:26:46.712294image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
ValueCountFrequency (%)
improve 464
61.9%
no 135
 
18.0%
effect 135
 
18.0%
worsen 15
 
2.0%

Most occurring characters

ValueCountFrequency (%)
e 749
16.5%
o 614
13.5%
r 479
10.5%
I 464
10.2%
m 464
10.2%
p 464
10.2%
v 464
10.2%
f 270
 
5.9%
N 135
 
3.0%
135
 
3.0%
Other values (5) 315
6.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3804
83.5%
Uppercase Letter 614
 
13.5%
Space Separator 135
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 749
19.7%
o 614
16.1%
r 479
12.6%
m 464
12.2%
p 464
12.2%
v 464
12.2%
f 270
 
7.1%
c 135
 
3.5%
t 135
 
3.5%
s 15
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
I 464
75.6%
N 135
 
22.0%
W 15
 
2.4%
Space Separator
ValueCountFrequency (%)
135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4418
97.0%
Common 135
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 749
17.0%
o 614
13.9%
r 479
10.8%
I 464
10.5%
m 464
10.5%
p 464
10.5%
v 464
10.5%
f 270
 
6.1%
N 135
 
3.1%
c 135
 
3.1%
Other values (4) 180
 
4.1%
Common
ValueCountFrequency (%)
135
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 749
16.5%
o 614
13.5%
r 479
10.5%
I 464
10.2%
m 464
10.2%
p 464
10.2%
v 464
10.2%
f 270
 
5.9%
N 135
 
3.0%
135
 
3.0%
Other values (5) 315
6.9%

Interactions

2024-07-16T14:26:22.342416image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:11.825466image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:13.485098image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:15.101492image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:16.710277image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:18.513853image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:20.353162image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:22.700144image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:12.117356image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:13.755039image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:15.251976image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:17.051033image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:18.788708image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:20.542315image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:23.033246image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:12.350247image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:13.951016image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:15.485285image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:17.362487image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:19.072290image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:20.856337image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:23.317681image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:12.505338image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:14.154536image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:15.681113image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:17.631333image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:19.316594image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:21.182389image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:23.529722image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:12.735422image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:14.397481image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:15.955432image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:17.918875image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:19.594963image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:21.495331image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:23.852322image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:13.005565image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:14.664831image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:16.237452image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:18.157532image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:19.819636image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:21.775157image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:24.149391image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:13.250246image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:14.933269image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:16.482492image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:18.339689image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:20.079955image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-07-16T14:26:22.045626image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Missing values

2024-07-16T14:26:24.743795image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-16T14:26:25.779535image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

AgePrimary streaming serviceHours per dayWhile workingInstrumentalistComposerFav genreExploratoryForeign languagesBPMFrequency [Classical]Frequency [Country]Frequency [EDM]Frequency [Folk]Frequency [Gospel]Frequency [Hip hop]Frequency [Jazz]Frequency [K pop]Frequency [Latin]Frequency [Lofi]Frequency [Metal]Frequency [Pop]Frequency [R&B]Frequency [Rap]Frequency [Rock]Frequency [Video game music]AnxietyDepressionInsomniaOCDMusic effects
218.0Spotify4.0NoNoNoVideo game musicNoYes132.0NeverNeverVery frequentlyNeverNeverRarelyRarelyVery frequentlyNeverSometimesSometimesRarelyNeverRarelyRarelyVery frequently7.07.010.02.0No effect
361.0YouTube Music2.5YesNoYesJazzYesYes84.0SometimesNeverNeverRarelySometimesNeverVery frequentlySometimesVery frequentlySometimesNeverSometimesSometimesNeverNeverNever9.07.03.03.0Improve
418.0Spotify4.0YesNoNoR&BYesNo107.0NeverNeverRarelyNeverRarelyVery frequentlyNeverVery frequentlySometimesSometimesNeverSometimesVery frequentlyVery frequentlyNeverRarely7.02.05.09.0Improve
518.0Spotify5.0YesYesYesJazzYesYes86.0RarelySometimesNeverNeverNeverSometimesVery frequentlyVery frequentlyRarelyVery frequentlyRarelyVery frequentlyVery frequentlyVery frequentlyVery frequentlyNever8.08.07.07.0Improve
618.0YouTube Music3.0YesYesNoVideo game musicYesYes66.0SometimesNeverRarelySometimesRarelyRarelySometimesNeverRarelyRarelyRarelyRarelyRarelyNeverNeverSometimes4.08.06.00.0Improve
721.0Spotify1.0YesNoNoK popYesYes95.0NeverNeverRarelyNeverNeverVery frequentlyRarelyVery frequentlyNeverSometimesNeverSometimesSometimesRarelyNeverRarely5.03.05.03.0Improve
819.0Spotify6.0YesNoNoRockNoNo94.0NeverVery frequentlyNeverSometimesNeverNeverNeverNeverNeverNeverVery frequentlyNeverNeverNeverVery frequentlyNever2.00.00.00.0Improve
918.0I do not use a streaming service.1.0YesNoNoR&BYesYes155.0RarelyRarelyRarelyRarelySometimesRarelyRarelyNeverRarelyRarelyNeverSometimesSometimesRarelySometimesSometimes2.02.05.01.0Improve
1119.0YouTube Music8.0YesNoNoEDMYesNo125.0RarelyNeverVery frequentlyNeverNeverSometimesRarelyRarelyRarelyRarelyNeverRarelyRarelySometimesRarelyRarely1.00.00.01.0Improve
1319.0Spotify2.0YesNoNoCountryYesNo88.0NeverVery frequentlyRarelySometimesNeverSometimesNeverNeverNeverRarelyNeverRarelyNeverVery frequentlyNeverNever2.01.02.00.0Improve
AgePrimary streaming serviceHours per dayWhile workingInstrumentalistComposerFav genreExploratoryForeign languagesBPMFrequency [Classical]Frequency [Country]Frequency [EDM]Frequency [Folk]Frequency [Gospel]Frequency [Hip hop]Frequency [Jazz]Frequency [K pop]Frequency [Latin]Frequency [Lofi]Frequency [Metal]Frequency [Pop]Frequency [R&B]Frequency [Rap]Frequency [Rock]Frequency [Video game music]AnxietyDepressionInsomniaOCDMusic effects
72618.0Apple Music18.0YesNoNoEDMYesNo90.0SometimesRarelyVery frequentlyNeverRarelySometimesSometimesNeverNeverSometimesSometimesRarelySometimesSometimesSometimesSometimes9.08.05.010.0Improve
72726.0YouTube Music1.0YesNoNoMetalYesYes136.0SometimesRarelySometimesVery frequentlyNeverNeverRarelyNeverNeverRarelyVery frequentlyRarelyNeverNeverNeverRarely0.00.00.00.0No effect
72814.0Other streaming service7.0YesYesNoCountryYesNo108.0RarelyVery frequentlySometimesSometimesVery frequentlySometimesNeverNeverNeverRarelySometimesVery frequentlySometimesSometimesVery frequentlyRarely7.03.01.02.0Improve
72921.0I do not use a streaming service.0.5NoNoNoPopYesNo95.0NeverRarelySometimesNeverNeverSometimesRarelySometimesNeverVery frequentlyNeverVery frequentlySometimesSometimesVery frequentlyNever6.02.02.00.0Improve
73021.0Spotify2.0YesNoNoR&BYesYes147.0SometimesNeverSometimesRarelyNeverNeverSometimesVery frequentlyNeverSometimesRarelySometimesVery frequentlySometimesSometimesSometimes7.06.04.06.0Improve
73117.0Spotify2.0YesYesNoRockYesYes120.0Very frequentlyRarelyNeverSometimesNeverSometimesRarelyNeverSometimesRarelyRarelyVery frequentlyNeverRarelyVery frequentlyNever7.06.00.09.0Improve
73218.0Spotify1.0YesYesNoPopYesYes160.0RarelyRarelyNeverNeverNeverNeverRarelyNeverNeverRarelyNeverVery frequentlyNeverNeverSometimesSometimes3.02.02.05.0Improve
73319.0Other streaming service6.0YesNoYesRapYesNo120.0RarelySometimesSometimesRarelyRarelyVery frequentlyRarelyRarelyRarelySometimesRarelySometimesSometimesSometimesRarelyRarely2.02.02.02.0Improve
73419.0Spotify5.0YesYesNoClassicalNoNo170.0Very frequentlyNeverNeverNeverNeverNeverRarelyNeverNeverNeverNeverNeverNeverNeverNeverSometimes2.03.02.01.0Improve
73529.0YouTube Music2.0YesNoNoHip hopYesYes98.0SometimesRarelyVery frequentlySometimesRarelyVery frequentlyVery frequentlySometimesNeverRarelyNeverSometimesVery frequentlyVery frequentlyVery frequentlyRarely2.02.02.05.0Improve